Sr. Manager, Data Engineering Shockwave Medical

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Engineering

Job Category:

People Leader

All Job Posting Locations:

Santa Clara California United States of America

Job Description:

Johnson & Johnson is hiring for a Sr. Manager Data Engineering Shockwave Medical to join our team. The position is FULLY REMOTE and can sit anywhere in the US.

At Johnson & Johnson we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented treated and cured where treatments are smarter and less invasive and solutions are personal. Through our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity. Learn more at by innovation at the intersection of biology and technology were developing the next generation of smarter less invasive more personalized treatments. Ready to join a team thats pioneering the development and commercialization of Intravascular Lithotripsy (IVL) to treat complex calcified cardiovascular disease. Our Shockwave Medical portfolio aims to establish a new standard of care for medical device treatment of atherosclerotic cardiovascular disease through its differentiated and proprietary local delivery of sonic pressure waves for the treatment of calcified plaque.

Position Overview

Johnson & Johnson is a leading innovator in cardiovascular medical technology committed to transforming patient outcomes through cutting-edge solutions. Our mission is to improve lives by developing and delivering pioneering treatments that address critical cardiovascular conditions.

The Data Engineering Manager is responsible for designing optimizing and managing data pipelines that support business intelligence and analytics across commercial functions with the support of a direct team. This role will focus on SQL-based data transformation ensuring that data from enterprise data warehouses is structured accessible and ready for analysis in tools like Power BI. The Data Engineering Manager will work closely with IT Analytics and Commercial teams to enable efficient data workflows that drive business insights and operational efficiency.

Essential Job Functions:

• Develop and maintain SQL-based data pipelines to extract transform and load (ETL) data from enterprise data warehouses.

• Collaborate with IT to ensure data availability integrity and accuracy for business intelligence and analytics applications.

• Optimize data structures and performance for commercial reporting tools such as Power BI Tableau and Looker.

• Work closely with Sales Marketing Finance and Commercial Operations teams to understand data needs and deliver scalable solutions.

• Manage and improve data access and governance ensuring compliance with security and regulatory requirements.

• Develop automated data pipelines to streamline reporting and enable self-service analytics.

• Support data modeling efforts to enhance analytics capabilities for forecasting segmentation and pricing.

• Identify and implement best practices for data management warehousing and analytics infrastructure.

• Monitor and troubleshoot data pipeline performance working proactively to resolve issues.

• Act as a bridge between IT and business users ensuring that data solutions align with commercial objectives.

• This is a hybrid/remote role depending on location and business needs.

• Travel up to 20% may be required for business meetings collaboration and system implementations.

Requirements:

• Bachelors degree in Computer Science Data Engineering Information Systems or a related field.

• 10 years of experience in data engineering SQL development or data pipeline management preferably in the medical device medtech or pharmaceutical industry.

• Ability to work in cross-functional teams translating business needs into technical solutions.

• Expertise in SQL and ETL tools for data transformation and warehouse management.

• Experience working with cloud-based data platforms (AWS Azure Google Cloud).

• Strong proficiency in Power BI or other business intelligence tools.

• Familiarity with data governance security and compliance best practices.

• Strong problem-solving skills and ability to optimize data performance for analytics applications.

Preferred Qualifications:

• Familiarity with APIs and system integrations for data connectivity.

• Knowledge of Python R or other scripting languages for data automation.

• Experience in building scalable data infrastructure for commercial operations.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation please contact us via or contact AskGS to be directed to your accommodation resource.

Required Skills:

Database Engineering Data Center Engineering Data Development Data Mining Information Engineering

Preferred Skills:

Advanced Analytics Agility Jumps Budget Management Compliance Management Critical Thinking Cross-Functional Collaboration Data Engineering Data Governance Data Modeling Data Privacy Standards Data Science Developing Others Execution Focus Hybrid Clouds Inclusive Leadership Leadership Team Management Technical Development Technologically Savvy

The anticipated base pay range for this position is :

$142000.00 - $244950.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)).



This position is eligible to participate in the Companys long-term incentive program.



Subject to the terms of their respective policies and date of hire employees are eligible for the following time off benefits:

Vacation 120 hours per calendar year

Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado 48 hours per calendar year; for employees who reside in the State of Washington 56 hours per calendar year

Holiday pay including Floating Holidays 13 days per calendar year

Work Personal and Family Time - up to 40 hours per calendar year

Parental Leave 480 hours within one year of the birth/adoption/foster care of a child

Bereavement Leave 240 hours for an immediate family member: 40 hours for an extended family member per calendar year

Caregiver Leave 80 hours in a 52-week rolling period10 days

Volunteer Leave 32 hours per calendar year

Military Spouse Time-Off 80 hours per calendar year